
Title: Shades of Drkness or Light? A Systematic Review of Geographic Bias in Impact Evaluations of Electricity Access
Authors: David Hamburger (JHU SAIS), Joel Jaeger (JHU SAIS), Patrick Bayer (Strathclyde), Ryan Kennedy (Houston), Joonseok Yang (Columbia), and Johannes Urpelainen (JHU SAIS) 
Energy Research and Social Science

All files/data were created/analysed in Stata/SE 14.2 on Windows 10, 64 bit
All figures were done in R version 3.5.0 (2018-04-23) using RStudio Version 1.1.453 on Windows 10, 64 bit
Machine: Intel(R) Core(TM) i7-4650U CPU @ 1.70Ghz 2.30Ghz with 8GB RAM

This version: 27 August 2019 
Permanent link: https://www.sciencedirect.com/science/article/pii/S2214629619301665

Table of contents:

ERSS_geography.pdf				Main paper
geography_data.xlsx				Main data file (Excel format)
geography_prep.do				Stata file that prepares data for analysis
geography_main.do				Stata analysis file to replicate main results reported in the paper
gtf_full_report_2017.pdf		Global Tracking Framework 2017 Report used as data source for electrification data

./Figures
Data_maps.xlsx					Aggregated data for maps and barplots (Excel format)
geography_barplot.R				R script to produce the two barplots in paper
geography_map.R					R script to produce world map in paper (requires: NUTS_2013_60M_SH and TM_WORLD_BORDERS)
geography_rep.dta				Data for kernel density plots (Stata format)
geography_rep.R					R script to produce the three kernel density plots					